Embedded medical system and traditional Chinese medicine to treat hormone levels in patients with premature ovarian failure

Abstract

Abstract An embedded system is a set of hardware and software that is often designed for a single task. It is a computing device that directly involves various devices or applications for disease analysis, patient management and telemedicine biomedical applications. It is a disease that women are at risk of uterine dysfunction born prematurely. It has complex causes and physical and mental health to treat it hard, bringing great physical and psychological pain. Although some scholars have made achievements in the mechanism of disease TCM treatment, therapy and results, etc., they do not constantly limit the suffering of patients. Affecting factors include disease, pathogenesis and disease progression. In traditional Chinese medicine, these properties are still one of the main problems in the previous system. Premature Ovarian Failure (POF) is a gynecological disease that causes infertility, infertility, and menopause and kidney system to introduce the proposed Deep Learning system analysis. Hormone Replacement Therapy (HRT) is currently the most popular choice for women with ovarian dysfunction who can get rid of menopausal syndrome. However, due to its need for Chinese traditional medicine, Chinese Medicine (CM) is shining new, and doctors can treat ovarian disorder with Mino herbs and comprehensive treatments. It emphasizes acupuncture as individual physical therapy for POF. Although CM s ability to be supported by clinical trials and evidence from a meta-analysis in many preclinical trials, there are still adverse events related to traditional Chinese medicine treatment, the safety of which cannot be guaranteed. Updated information CM is running the cosmic disorder.